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Videos about how model capability changes with more compute, data, parameters, training, and deployment resources.

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  1. Theo Browne in a blue top beside the headline FRONTIER PACING on a black background.
    What Pacing the AI Frontier Means for Model Reliability
    Theo27m 29s
  2. Devansh Tandon in a blue shirt beside the headline “LLM RECOMMENDERS” on a black background.
    Why LLM Recommenders Will Be AI's Biggest Consumer App - Devansh Tandon, Meta
    AI Engineer18m
  3. Wes Roth and Scott Aaronson beside the headline HIDDEN AI BREAKTHROUGHS? on a black background.
    AI labs may be hiding their biggest breakthroughs
    Wes Roth24m 44s
  4. Ben Hilborn beside a real-time electricity grid map showing AI data centers, batteries and solar resources coordinating available capacity.
    We Can Get 2x More Energy Out of the Existing Grid: Ben Hilborn
    MTS26m 20s
  5. Nick Saraev in a light attention-blue top and Jack Roberts in an off-white top on a black background beside the headline “CAN GROK WIN?”.
    Grok 4.8: Can It Win the AI War?
    Stacked Podcast30m 23s
  6. Theo Browne and Dario Amodei beside the headline Slow the AI Frontier? on a black background.
    I think they mean it this time
    Theo34m 48s3 VIEWS
  7. Dwarkesh Patel, Beren Millidge, John Schulman and Charlie O’Neill debate the bottlenecks to recursive AI self-improvement.
    AI researchers debate how close we are to recursive self-improvement
    Dwarkesh Patel1h 37m3 VIEWS
  8. Harshul Jain and Tanmay Sah beside a glowing GPU memory map showing LLM tokens, KV cache blocks and throughput metrics.
    Deep Dive on LLM Inference at Scale with Harshul Jain and Tanmay Sah
    AI Engineer1h 28m
  9. Jen Kha beside the words AI Hits the Hardware Wall
    Why AI Needs New Hardware
    MTS25m 5s
  10. Sara Hooker discusses automated model adaptation, data quality and broader access to AI research.
    Adaption Labs: Gradient-Free Continual Learning - Sara Hooker, Adaption
    AI Engineer20m 51s
  11. Jack Morris beside the words Scaling Compute on Context
    Scaling Compute on Context - Jack Morris, Engram
    AI Engineer19m 42s
  12. Ronak Malde beside the words Scale Continual Learning
    Scaling Up Continual Learning - Ronak Malde, Trajectory
    AI Engineer23m 3s
  13. Nan Jiang beside the headline RL Across Datacenters on a pure black background.
    Cross-Datacenter Reinforcement Learning with Nan Jiang
    AI Engineer19m 50s
  14. Guillaume Verdon with a reddish beard and blue top beside the blue-and-white headline “PROBABILISTIC AI CHIPS” on black.
    Classical Computing Can't Scale AI - Guillaume Verdon
    MTS21m 57s
  15. Ari Morcos smiling in a blue shirt beside “Data Quality Multiplies Compute” in blue and off-white on black.
    Data Quality Is the Compute Multiplier - Ari Morcos
    AI Engineer19m 5s
  16. Ross Taylor and Chengxi Taylor in blue tops beside the blue and white headline Long-Horizon Agents on black.
    Scaling to Long Horizons - Ross Taylor and Chengxi Taylor
    AI Engineer18m 7s
  17. Varun Singh in a blue top beside the blue and white headline Rebuilding the Base Model on black.
    The Base Model Is Dead - Varun Singh, Arcee AI
    AI Engineer17m 45s
  18. Portrait of Ilya Sutskever beside the words The Gap Is Generalization
    We Finally Know What Ilya Is Working On...
    AI Copium13m 34s
  19. Ilya Sutskever against black beside the blue and white headline “RESEARCH BEFORE SCALE”.
    Ilya Sutskever Just Found Something New In AI
    TheAIGRID10m 15s
  20. Marah Abdin in blue and Robert McHardy in off-white gesture toward each other beside the blue-and-white headline “SCALE WITHOUT CORRUPTION” on black.
    The Messy Reality of Scale: Synthetic Data and Pre-Training — Marah Abdin & Robert McHardy, poolside
    AI Engineer17m 31s